Results 261 to 270 of about 2,775,026 (356)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Correction to: Serological and Molecular Detection of Toxoplasma Gondii among Slaughtered Domestic Ruminants in Gondar Town, Northwest Ethiopia. [PDF]
europepmc +1 more source
Bovine neonatal pancytopenia: descriptive epidemiology in Belgium [PDF]
Callens, Jozefien +10 more
core
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Regular Physical Inactivity and Ovarian Cancer Risk in the Ovarian Cancer in Women of African Ancestry Consortium. [PDF]
Lima SM +16 more
europepmc +1 more source
Abstract We explored community‐based doulas' perspectives on the acceptability of using formal screening tools to address low rates of mental health screening, diagnosis, and treatment for perinatal anxiety and depression among Black women. Using thematic analysis, we analyzed interview data from 30 community‐based doulas who support Black families ...
Tamara Nelson +5 more
wiley +1 more source
Abstract Background Resettled refugee families face elevated mental health risks, compounded by structural and cultural barriers. The Family Strengthening Intervention for Resettlement (FSIR), co‐developed with resettled refugee communities, aims to improve family functioning and child mental health.
Euijin Jung +7 more
wiley +1 more source

